Кенжебек Е. Ғ.
Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset
Energies
0 - г.
0 - стр.
3322
Иманкулов Т. С.
Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset
Energies
0 - г.
0 - стр.
3323
Иманкулов Т. С.
Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset
Energies
0 - г.
0 - стр.
3324
Қасымбек Н. М.
Параллельная реализация метода Монте-Карло на примере задачи распространения тепла с использованием mpi
Вестник НИА РК
0 - г.
0 - стр.
3325
Қасымбек Н. М.
Параллельная реализация метода Монте-Карло на примере задачи распространения тепла с использованием mpi
Вестник НИА РК
0 - г.
0 - стр.
3326
Қасымбек Н. М.
Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting
Algorithms
0 - г.
0 - стр.
3327
Қасымбек Н. М.
Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting
Algorithms
0 - г.
0 - стр.
3328
Муханбет А. А. Daribayev, B.; Mukhanbet, A.; Azatbekuly, N.; Imankulov, T. A Quantum Approach for Exploring the Numerical Results of the Heat Equation. Algorithms 2024, 17, 327. https://doi.org/10.3390/a17080327
Algorithms
0 - г.
0 - стр.
3329
Муханбет А. А. Daribayev, B.; Mukhanbet, A.; Azatbekuly, N.; Imankulov, T. A Quantum Approach for Exploring the Numerical Results of the Heat Equation. Algorithms 2024, 17, 327. https://doi.org/10.3390/a17080327
Algorithms
0 - г.
0 - стр.
3330
Муханбет А. А. Amangeldy, B.; Tasmurzayev, N.; Shinassylov, S.; Mukhanbet, A.; Nurakhov, Y. Integrating Machine Learning with Intelligent Control Systems for Flow Rate Forecasting in Oil Well Operations. Automation 2024, 5, 343–359. https://doi.org/10.3390/ automation5030021
MDPI
0 - г.
0 - стр.
3331
Муханбет А. А. Amangeldy, B.; Tasmurzayev, N.; Shinassylov, S.; Mukhanbet, A.; Nurakhov, Y. Integrating Machine Learning with Intelligent Control Systems for Flow Rate Forecasting in Oil Well Operations. Automation 2024, 5, 343–359. https://doi.org/10.3390/ automation5030021
MDPI
0 - г.
0 - стр.
3332
Махмут Е.
СРАВНИТЕЛЬНЫЙ АНАЛИ ЭФФЕКТИВНОСТИ ИСПОЛЬОВАНИЯ ГРАФИЧЕСКИХ ПРОЦЕССОРОВ В МАШИННОМ ОБУЧЕНИИ.
РОО «НАЦИОНАЛЬНАЯ ИНЖЕНЕРНАЯ
АКАДЕМИЯ» РЕСПУБЛИКИ КАЗАХСТАН
0 - г.
0 - стр.
3333
Махмут Е.
СРАВНИТЕЛЬНЫЙ АНАЛИ ЭФФЕКТИВНОСТИ ИСПОЛЬОВАНИЯ ГРАФИЧЕСКИХ ПРОЦЕССОРОВ В МАШИННОМ ОБУЧЕНИИ.
РОО «НАЦИОНАЛЬНАЯ ИНЖЕНЕРНАЯ
АКАДЕМИЯ» РЕСПУБЛИКИ КАЗАХСТАН
0 - г.
0 - стр.
3334
Мустафин М. Б.
СРАВНИТЕЛЬНЫЙ АНАЛИ ЭФФЕКТИВНОСТИ ИСПОЛЬОВАНИЯ ГРАФИЧЕСКИХ ПРОЦЕССОРОВ В МАШИННОМ ОБУЧЕНИИ.
РОО «НАЦИОНАЛЬНАЯ ИНЖЕНЕРНАЯ
АКАДЕМИЯ» РЕСПУБЛИКИ КАЗАХСТАН
0 - г.
0 - стр.
3335
Муханбет А. А. Matkerim, B.; Mukhanbet, A.; Kassymbek, N.; Daribayev, B.; Mustafin, M.; Imankulov, T. Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting. Algorithms 2024,17,354. https://doi.org/ 10.3390/a17080354
Algorithms
0 - г.
0 - стр.
3336
Муханбет А. А. Matkerim, B.; Mukhanbet, A.; Kassymbek, N.; Daribayev, B.; Mustafin, M.; Imankulov, T. Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting. Algorithms 2024,17,354. https://doi.org/ 10.3390/a17080354
Algorithms
0 - г.
0 - стр.
3337
Муханбет А. А. Kenzhaliyev, B.; Imankulov, T.; Mukhanbet, A.; Kvyatkovskiy, S.; Dyussebekova, M.; Tasmurzayev, N. Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning. Metals2025,15,186. https://doi.org/ 10.3390/met15020186
Metals
0 - г.
0 - стр.
3338
Муханбет А. А. Kenzhaliyev, B.; Imankulov, T.; Mukhanbet, A.; Kvyatkovskiy, S.; Dyussebekova, M.; Tasmurzayev, N. Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning. Metals2025,15,186. https://doi.org/ 10.3390/met15020186
Metals
0 - г.
0 - стр.
3339
Тұрар О. Н.
APPLICATION OF PINN AND THE METHOD OF DIFFERENTIAL CONSTRUCTION OF ADAPTIVE ONE-DIMENSIONAL COMPUTATIONAL GRIDS
Journal of Problems in Computer Science and Information Technologies
0 - г.
0 - стр.
3340
Мустафин М. Б.
APPLICATION OF PINN AND THE METHOD OF DIFFERENTIAL CONSTRUCTION OF ADAPTIVE ONE-DIMENSIONAL COMPUTATIONAL GRIDS
Journal of Problems in Computer Science and Information Technologies
0 - г.
0 - стр.
3341
Муханбет А. А. N. Azatbekuly, A. Mukhanbet and S. D. Bekele, "Development of an Intelligent Video Surveillance System Based on YOLO Algorithm," 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST), Astana, Kazakhstan, 2024, pp. 498-503, doi: 10.1109/SIST61555.2024.10629617.
2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)
0 - г.
0 - стр.
3342
Муханбет А. А. N. Azatbekuly, A. Mukhanbet and S. D. Bekele, "Development of an Intelligent Video Surveillance System Based on YOLO Algorithm," 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST), Astana, Kazakhstan, 2024, pp. 498-503, doi: 10.1109/SIST61555.2024.10629617.
2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)
0 - г.
0 - стр.
3343
Мустафин М. Б.
HARNESSING GPU POWER FOR MACHINE LEARNING
Journal of Problems in Computer Science and Information Technologies
0 - г.
0 - стр.
3344
Муханбет А. А. A. Serik and A. Mukhanbet, "Predicting Oil Recovery Coefficient With Machine Learning Methods on Data Generated From the Buckley-Leverett Model," 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST), Astana, Kazakhstan, 2024, pp. 461-466, doi: 10.1109/SIST61555.2024.10629588.
2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)
0 - г.
0 - стр.
3345
Муханбет А. А. A. Serik and A. Mukhanbet, "Predicting Oil Recovery Coefficient With Machine Learning Methods on Data Generated From the Buckley-Leverett Model," 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST), Astana, Kazakhstan, 2024, pp. 461-466, doi: 10.1109/SIST61555.2024.10629588.
2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)
0 - г.
0 - стр.
3346
Муханбет А. А. Daribayev , B. ., Azatbekuly, N. ., & Mukhanbet, A. . (2024). OPTIMIZATION OF NEURAL NETWORKS FOR PREDICTING OIL RECOVERY FACTOR USING QUANTIZATION TECHNIQUES. Journal of Problems in Computer Science and Information Technologies, 2(2), 25–33. https://doi.org/10.26577/jpcsit2024-02b03
Journal of Problems in Computer Science and Information Technologies
0 - г.
0 - стр.
3347
Муханбет А. А. Daribayev , B. ., Azatbekuly, N. ., & Mukhanbet, A. . (2024). OPTIMIZATION OF NEURAL NETWORKS FOR PREDICTING OIL RECOVERY FACTOR USING QUANTIZATION TECHNIQUES. Journal of Problems in Computer Science and Information Technologies, 2(2), 25–33. https://doi.org/10.26577/jpcsit2024-02b03
Journal of Problems in Computer Science and Information Technologies
0 - г.
0 - стр.
3348
Муханбет А. А. Azatbekuly, N., Matkerim, B., & Mukhanbet, A. (2024). ANALYSIS OF SPATIO-TEMPORAL CONVOLUTIONAL NEURAL NETWORKS FOR THE ACTION DETECTION TASKS. Journal of Problems in Computer Science and Information Technologies, 2(4), 26–33. https://doi.org/10.26577/jpcsit2024-v2-i4-a3
Journal of Problems in Computer Science and Information Technologies N
0 - г.
0 - стр.
3349
Муханбет А. А. Azatbekuly, N., Matkerim, B., & Mukhanbet, A. (2024). ANALYSIS OF SPATIO-TEMPORAL CONVOLUTIONAL NEURAL NETWORKS FOR THE ACTION DETECTION TASKS. Journal of Problems in Computer Science and Information Technologies, 2(4), 26–33. https://doi.org/10.26577/jpcsit2024-v2-i4-a3
Journal of Problems in Computer Science and Information Technologies N
0 - г.
0 - стр.
3350
Муханбет А. А. Kenzhaliyev BK, Amangeldy BS, Mukhanbet A, Azatbekuly N, KoizhanovaA, Magomedov DR.Development of Software for Hydrometallurgical Calculation of Metal Extraction. Kompleksnoe Ispolzovanie Mineralnogo Syra = Complex Use of Mineral Resources.2025; 335(4):78-88. https://doi.org/10.31643/2025/6445.42
Комплексное Использование Минерального Сырья/Kompleksnoe Ispol’zovanie Mineral’nogo Syr’a =
Complex Use of Mineral Resources
0 - г.
0 - стр.
3351
Муханбет А. А. Kenzhaliyev BK, Amangeldy BS, Mukhanbet A, Azatbekuly N, KoizhanovaA, Magomedov DR.Development of Software for Hydrometallurgical Calculation of Metal Extraction. Kompleksnoe Ispolzovanie Mineralnogo Syra = Complex Use of Mineral Resources.2025; 335(4):78-88. https://doi.org/10.31643/2025/6445.42
Комплексное Использование Минерального Сырья/Kompleksnoe Ispol’zovanie Mineral’nogo Syr’a =
Complex Use of Mineral Resources
0 - г.
0 - стр.
3352
Муханбет А. А. Mukhanbet, A., Azatbekuly , N., & Daribayev, B. (2024). OPTIMIZING QUANTUM ALGORITHMS FOR SOLVING THE POISSON EQUATION. Scientific Journal of Astana IT University, 18, 55–65. https://doi.org/10.37943/18REAT9767
Scientific Journal of Astana IT University
0 - г.
0 - стр.
3353
Муханбет А. А. Mukhanbet, A., Azatbekuly , N., & Daribayev, B. (2024). OPTIMIZING QUANTUM ALGORITHMS FOR SOLVING THE POISSON EQUATION. Scientific Journal of Astana IT University, 18, 55–65. https://doi.org/10.37943/18REAT9767
Scientific Journal of Astana IT University
0 - г.
0 - стр.
3354
Муханбет А. А. Mukhanbet, A., Azatbekuly, N., & Daribayev, B. (2025). DEVELOPMENT OF HYBRID QUANTUM-CLASSICAL MODELS FOR COMPUTER VISION. Journal of Problems in Computer Science and Information Technologies, 3(1), 45–55. https://doi.org/10.26577/jpcsit20253105
Journal of Problems in Computer Science and Information Technologies N
0 - г.
0 - стр.
3355
Муханбет А. А. Mukhanbet, A., Azatbekuly, N., & Daribayev, B. (2025). DEVELOPMENT OF HYBRID QUANTUM-CLASSICAL MODELS FOR COMPUTER VISION. Journal of Problems in Computer Science and Information Technologies, 3(1), 45–55. https://doi.org/10.26577/jpcsit20253105
Journal of Problems in Computer Science and Information Technologies N
0 - г.
0 - стр.
3356
Ордабаева Г. К.
Производство комбикормов в агропромышленном секторе Казахстана
ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES
0 - г.
0 - стр.
3357
Ордабаева Г. К.
МЕТОДЫ И СРЕДСТВА ОБЕСПЕЧЕНИЯ ИНФОРМАЦИОННОЙ
БЕзОПАСНОСТИ СЕТЕЙ
"Вестник Национальной инженерной академии Республики Казахстан"
0 - г.
0 - стр.
3358
Джомартова Ш. А.
Прогнозирование последствий селевого прорыва с учетом характеристик водоема.
Вестник КазУТБ (Вестник Казахского Университета Технологии и Бизнеса)
0 - г.
0 - стр.
3359
Джомартова Ш. А.
Прогнозирование последствий селевого прорыва с учетом характеристик водоема.
Вестник КазУТБ (Вестник Казахского Университета Технологии и Бизнеса)
0 - г.
0 - стр.
3360
Джомартова Ш. А.
Построение путей эвакуации людей из многоэтажного здания при угрозе и возникновении пожара.
Вестник КазУТБ (Вестник Казахского Университета Технологии и Бизнеса)
0 - г.
0 - стр.